# COS 429, Fall 2019: Course Home

https://www.cs.princeton.edu/courses/archive/fall19/cos429

|  [ ![](http://cs.princeton.edu/courses/archive/fall19/cos429/PUshield-small.png) ](http://cs.princeton.edu/)  |   
#  COS 429 - Computer Vision 
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### Fall 2019
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|  **Course home**  |  [Outline and Lecture Notes](http://cs.princeton.edu/courses/archive/fall19/cos429/outline.html)  |  [Assignments](http://cs.princeton.edu/courses/archive/fall19/cos429/assignments.html)  |  
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 | **_News:_**  |  
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|   |  _Nov 5_  |  Assignment 3 released.   |  
|   |  _Oct 15_  |  [Midterm practice with solutions](http://cs.princeton.edu/courses/archive/fall19/cos429/assignments.html) and [Midterm room assignment](https://piazza.com/class/jztrppw6kom3va?cid=139) released.   |  
|   |  _Oct 7_  |  Special office hours on Tuesdays changed from 4:30-6:30pm to 9:30-11:30am.   |  
|   |  _Oct 3_  |  Assignment 2 released.   |  
|   |  _Aug 27_  |  Course website for fall 2019 is up.   |  
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### Course Description
> An introduction to the concepts of 2D and 3D computer vision. Topics include: low-level image processing methods such as filtering and edge detection; segmentation and clustering; optical flow and tracking; recognition; shape reconstruction from stereo, motion, texture, and shading; and recent developments in deep learning. Throughout the course, we also look at aspects of human vision and perception that guide and inspire computer vision techniques. 
> **Prerequisites:** Prerequisites for the course are COS 217 and COS 226. The course will require programming in Python, as well as some background in data structures and linear algebra. Experience with signal processing, statistics, computer graphics and/or machine learning is useful but not necessary. 
> **Grading:** There will be four assignments worth 56% of the final grade total, a midterm worth 20% and a final project worth 24%. 
> **Midterm:** The midterm will be during class time on Thu, Oct 24. No exceptions or alternate times will be offered. 
  

### Meeting time/place
> TTh 3:00-4:20, in Computer Science Building Rm 104 
  

### Staff
> **Instructor:** [Prof. Olga Russakovsky](http://cs.princeton.edu/~olgarus/)   
>   
>  **TAs:** [Xingyuan Sun](http://people.csail.mit.edu/xingyuan/), [Fangyin Wei](https://weify627.github.io/), [Jimmy Wu](http://www.cs.princeton.edu/~jw60/) and [Felix Yu](https://www.cs.princeton.edu/people/grad?name=felix)   
>   
>  **Undergrad coordinator:** Colleen Kenny-McGinley (ckenny at cs, CS 210) 
  

### Questions
> We will be using [piazza](https://piazza.com/class/jztrppw6kom3va#) for Q&A (can also access from Blackboard). Please post your questions there instead of mailing the Professor or TAs, if at all possible.   
>    
>  **Professor office hours:** By appointment only, [schedule here](http://calendly.com/olgarus/office-hours). If you are emailing the Professor with personal questions (IWs, letters of recommendations, etc), do [read the FAQ first](http://cs.princeton.edu/~olgarus/sayhi.html).   
>    
>  **TA office hours:** We will be holding special office hours that replace normal office hours on weeks when assignments are due and on the week of the midterm.   
> 
>> _Regular TA office hours on the weeks of Sep 16, Sep 23, Oct 7, Nov 4, Nov 11, Nov 25 (Mon and Tue only), Dec 9:_   
>  Mon 2-3pm with Jimmy in COS 302   
>  Tue 9:30-10:30am with Fangyin in Friend 010   
>  Wed 4:30-5:30pm with Xingyuan in Friend 010   
>  Thu 4:30-5:30pm with Felix in Friend 010   
>    
>  _Special TA office hours on the weeks of Sept 30, Oct 14, Oct 21, Nov 18, Dec 2:_   
>  Tue 9:30-11:30am with two TAs in Friend 010   
>  Wed 4:30-6:30pm with two TAs in Friend 010 
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Last update 5-Nov-2019 18:08:33